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i need sensitivity analysis - Linear Programming Model Objective function: Profit = Revenue Cost MaxZ=650x1y1+1050x1y2+1200x1y3+1150x2y1+2050x2y2+2200x2y3+1000x3y1+1550x3y2+1800x3y35000000 Constraints: 0.248x1y1+0.455x1y2+0.572x1y3+0.154x2y1+0.315x2y2+0.4465x2y3+0.2604x3y1+0.375x3y2+0.6396x3y30.50.64x1y1+0.95x1y2+1.155x1y3+1.33x2y1+2.07x2y2+2.375x2y3+0.93x3y1+1.35x3y2+1.804x3y32x1y1+x1y2+x1y36000x2y1+x2y2+x2y32300x3y1+x3y2+x3y35000x1y1+x1y2+x1y2+x2y1+x2y2+x2y3+x3y1+x3y2+x3y38000(Crusherconstraint)x1y1+x1y2+x1y+x2y1+x2y2+x2y3+x3y1+x3y2+x3y36000(Washerconstraint)xiyi0(Nonnegativityconstraint)| Lingar Programming Objective function: Profit = Revenue -

i need sensitivity analysis
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- Linear Programming Model Objective function: Profit = Revenue Cost MaxZ=650x1y1+1050x1y2+1200x1y3+1150x2y1+2050x2y2+2200x2y3+1000x3y1+1550x3y2+1800x3y35000000 Constraints: 0.248x1y1+0.455x1y2+0.572x1y3+0.154x2y1+0.315x2y2+0.4465x2y3+0.2604x3y1+0.375x3y2+0.6396x3y30.50.64x1y1+0.95x1y2+1.155x1y3+1.33x2y1+2.07x2y2+2.375x2y3+0.93x3y1+1.35x3y2+1.804x3y32x1y1+x1y2+x1y36000x2y1+x2y2+x2y32300x3y1+x3y2+x3y35000x1y1+x1y2+x1y2+x2y1+x2y2+x2y3+x3y1+x3y2+x3y38000(Crusherconstraint)x1y1+x1y2+x1y+x2y1+x2y2+x2y3+x3y1+x3y2+x3y36000(Washerconstraint)xiyi0(Nonnegativityconstraint)|

Lingar Programming Objective function: Profit = Revenue - Cost MaxZ - 650xJYI + + 1150x2Yl + + 2200xzy,+ IOOOx,YI + + 1800x,yg - 5000000 Constraints: (Simplified, see appendix 4) 0.248xty, + 0.455xlY2 + 0.572x,ys + 0.154x2Yl + 0.315x:Y2 + 0.4465x2Y, + 0.2604x,y, + 0.375x,Y2+ 06396x,yg 0.5 (Sulfur % constraint) 0.64xIYl + 0.95xlY2 + 1.155x,yg + 1.33x2Yl + 2.07xzY2 + 2.375xzY3 + 0.93x,Yl + 1.35x3Y2+ 1.804x,y, S2 + XIY2+ S 6000 X2Yl + + 2300 X3Yl + 5000 (Ash % constraint) (M. Capacity constraint) x,y, + x,Y2 + x,y+x2Yl + x.2Y2 + + + x,y, S 8000 (Crusher constraint) + + + + + + 6000 (Washer constraint) (Nonnegativity constraint*

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